Reinforcement learning control of a flexible two-link manipulator: An experimental investigation

W He, H Gao, C Zhou, C Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article discusses the control design and experiment validation of a flexible two-link
manipulator (FTLM) system represented by ordinary differential equations (ODEs). A …

Neural network-based adaptive asymptotic prescribed performance tracking control of hydraulic manipulators

W Deng, H Zhou, J Zhou, J Yao - IEEE transactions on systems …, 2022 - ieeexplore.ieee.org
Hydraulic manipulators are extremely complicated systems due to the highly nonlinear
characteristics, strong coupling among multiple joints, and heavy modeling uncertainties …

Active disturbance rejection adaptive control of hydraulic servo systems

J Yao, W Deng - IEEE Transactions on Industrial Electronics, 2017 - ieeexplore.ieee.org
This paper presents an active disturbance rejection adaptive control scheme via full state
feedback for motion control of hydraulic servo systems subjected to both parametric …

High-accuracy tracking control of hydraulic rotary actuators with modeling uncertainties

J Yao, Z Jiao, D Ma, L Yan - IEEE/AsmE Transactions on …, 2013 - ieeexplore.ieee.org
Structured and unstructured uncertainties are the main obstacles in the development of
advanced controllers for high-accuracy tracking control of hydraulic servo systems. For the …

Composite learning from adaptive dynamic surface control

Y Pan, H Yu - IEEE Transactions on Automatic Control, 2015 - ieeexplore.ieee.org
In the conventional adaptive control, a stringent condition named persistent excitation (PE)
must be satisfied to guarantee parameter convergence. This technical note focuses on …

Saturated adaptive robust control for active suspension systems

W Sun, Z Zhao, H Gao - IEEE Transactions on industrial …, 2012 - ieeexplore.ieee.org
This paper investigates the problem of vibration control in vehicle active suspension
systems, whose aim is to stabilize the attitude of the vehicle and improve ride comfort. In …

-Synthesis-Based Adaptive Robust Control of Linear Motor Driven Stages With High-Frequency Dynamics: A Case Study

Z Chen, B Yao, Q Wang - IEEE/ASME Transactions on …, 2014 - ieeexplore.ieee.org
Existing control approaches for the precision motion control of linear motor driven systems
are mostly based on rigid-body dynamics of the system. Since all drive systems are …

RISE-based adaptive control of hydraulic systems with asymptotic tracking

J Yao, W Deng, Z Jiao - IEEE Transactions on Automation …, 2015 - ieeexplore.ieee.org
Parametric uncertainty associated with unmodeled disturbance always exist in physical
hydraulic systems, and complicate the advanced nonlinear controller design. In this paper …

Neural network learning adaptive robust control of an industrial linear motor-driven stage with disturbance rejection ability

Z Wang, C Hu, Y Zhu, S He, K Yang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, a neural network learning adaptive robust controller (NNLARC) is synthesized
for an industrial linear motor stage to achieve good tracking performance and excellent …

Adaptive tracking control of hydraulic systems with improved parameter convergence

K Guo, M Li, W Shi, Y Pan - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Most recent studies on adaptive hydraulic tracking control focus on the trajectory tracking
performance while the parameter convergence property is often unsatisfying. This article …